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Relevance Ranking for Vertical Search Engines

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Synopses & Reviews

Publisher Comments:

In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications.

This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals.

  • Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best results
  • Covers concepts and theories from the fundamental to the advanced
  • Discusses the state of the art: development of theories and practices in vertical search ranking applications
  • Includes detailed examples, case studies and real-world examples

Product Details

ISBN:
9780124071711
Author:
Edited By Bo Long And Yi Chang.
Publisher:
Morgan Kaufmann Publishers
Author:
Long, Bo
:
Chang, Yi
Subject:
Sorting (Electronic computers)
Subject:
Database searching
Subject:
Programming
Subject:
Internet-Information
Copyright:
Publication Date:
20140231
Binding:
TRADE PAPER
Language:
English

Related Subjects

Computers and Internet » Internet » General
Computers and Internet » Internet » Information
Computers and Internet » Internet » Web » Search Engines
Computers and Internet » Internet » Web Publishing
Science and Mathematics » Environmental Studies » General
Science and Mathematics » Mathematics » General

Relevance Ranking for Vertical Search Engines New Trade Paper
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